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All Journal Jurnal Rekayasa Sistem Industri JIEMS (Journal of Industrial Engineering and Management Systems) Jurnal Ilmiah Teknik Industri International Journal of Marine Engineering Innovation and Research Indonesian Journal of Industrial Engineering & Management
Sunday Ayoola Oke
University of Lagos, Lagos, Nigeria
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Fuzzy Analytic Hierarchy Process and Markov Chain-WSM/WPM/WASPAS Approaches to solving the Surface Roughness Problem in the Boring of Carbon Steel IS 2062 GR E250 Plates on CNC Machines Isaac Temitope Abiola; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 1: February 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i1.13242

Abstract

This paper establishes how the process engineer in a machine shop could capture the uncertainty and the transition of process parameters to improve the surfaced finish of bored work material (carbon steel IS 2062 GR E250 plates) and select the best parameters to achieve the aim. The fuzzy analytic hierarchy process method incorporating geometric mean and a novel Markov chain oriented weightage scheme were used as inputs into three multicriteria methods of weighted sum model (WSM), weighted product model (WPM) and weighted product model and weighted aggregated sum-product, assessment (WASPAS) model. Published literature data were used to validate the methods and their integrations. The novel Markov chain model borrows ideas from the orthogonal array, random number generation and the transition states of parameters. Finally, the optimal parametric setting idea is used to interprete the final results based on an initial response table determination, which are the averages of the signal-to-noise ratios summarized. The most important results are obtained from the fuzzy AHP-Markov WASPAS method. These are the feed parameter (preference score of 1.624) as the best parameter and the depth of cut with the preference score of 1.188 as the worst parameter. The findings indicate that process engineers should attach the most important interest to the feed rate as it is the most effective controlling parameter of surface finish during the boring operation of carbon steel IS 2062 GR E250 plates. Machining shops can employ the framework to evaluate and predict system performance before financial resource commitment to operations.
Cause-and-Effect Relationship Analysis of Cocoa Pod Husk Composites in Water Absorption Process Parametric Evaluation: A DEMATEL Approach Isaac Temitope Abiola; Victor Chidiebere Maduekwe; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 2, No 1: February 2021
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v2i1.10225

Abstract

Polymer composites are expanding in scope and applications to water-based structures such as the ship's hull in ship vessels due to their resistance to water and satisfactory mechanical properties. Unforunately, few studies have tackled their water absorption properties. In this paper, a novel method, DEMATEL, is used to analyse the conflicting water absorption process parameters of cocoa pod husk composite using the cause and effect associations of the parameters. The parameters considered are particulate loading, initial weight, particulate weight, the weight of the matrix, and weight after 150 days and rate of water absorption. A comparison scale explains the extent of influence of a criterion on the other. The direct relationship matrix is normalized and the total relation matrix generated to procedure a causal diagram. The most fascinating findings of the study are the differences between the sum of row and columns, which places particulate weights as the most appealing, 1.0798, while the rate of water absorption as the least appealing criterion. Besides, the sum of the row and column that yields the most attractive results is the particulate weight (5.4982) while the least attractive result is the rate of water absorption (3.5436). The novelty of this work lies in the application of DEMATEL structure to examine contextual associations between the essential pointers of water absorption process parameters, for cocoa pod husk composites in the water environment. To our knowledge, it is the first type of work in this area on the selected agro-filler-based composite.
The Application of Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS Multicriteria Methods to Optimize Downtime in a Production Process Isaac Temitope Abiola; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 1: February 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i1.13221

Abstract

In the industrial transformation of animal feed for chickens, downtime analysis is a crucial part of the plant's operations. Unfortunately, the literature on downtime analysis has a serious shortcoming; it fails to link downtime with Taguchi method’s optimization and ranking. To correct this deficiency, this paper proposes a new method that couples the Taguchi scheme with the weighted sum method (WSM), weighted product method (WPM) and weighted aggregated sum product assessment (WASPAS) method. A new model was developed to contain downtime factors, levels, orthogonal matrix, signal-to-noise proportions, normalisation indices, criteria weights and preference scores. The results of the Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS show that workstation 2 has the highest rankings of 0.8446, 8.9090 and 4.8770 for the Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS, respectively. Also, the lowest rankings of 0.1553, 6.7990 and 3.4800 were recorded for workstation 1 using the Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS methods, respectively. However, from literature reports, WASPAS has been associated with the best results compared to WSM and WPM. Hence, from the various results of prioritizing workstations 1 and 2, the results of the Taguchi-WASPAS method are recommended. This is the first time the downtime problem for animal feed processing equipment will be approached by a joint optimization and ranking with the Taguchi scheme, WSM, WPM and WASPAS multicriteria methods.
An Evaluation of Water Absorption Process Parameters for Composites by Deploying A Novel DEMATEL Method-PROMETHEE Method Victor Chidiebere Maduekwe; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 2, No 2: June 2021
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v2i2.11438

Abstract

Parametric ranking and selection in water absorption process of composite development are obligatory as they guide on resource distribution during the planning phase of composite development. However, the present literature model seems inaccurate as the PROMETHEE method fails to offer the likelihood of structuring the water absorption problem making it challenging to achieve a concise problem viewpoint and assess the results without difficulty. In this paper, the DEMATEL method is introduced to assign weights, revealing a cause and effect mechanism to overcome the aforementioned problem. The coupling point of the DEMATEL method-PROMETHEE method is at the weight determination of the DEMATEL method and the net outranking results are the final output of the model. Based on literature data, the DEMATEL method produced weights of 0.182, 0.114, 0.290, 0.242 and 0.244 for the parameters of final weight, initial weight, length, thickness and time, respectively. The PROMETHEE procedure yields the outranking results of -0.2166, -0.2742 and -0.0079 for the length, thickness and time, revealing time as the best parameter. The proposed method is user-friendly, complete in outranking, successful in real-world applications and capable to establish the cause and effect series constituent of the complicated water absorption system. The usefulness of this research is to help composite developers to achieve effective distribution of resource and decision regarding priority of parameters, leading to lean and effective manufacturing outcomes.
Surface Integrity Analysis of Wire Electric Discharge Machining of Nitinol Shape Memory Alloy: A Literature Review Mofoluwaso Kehinde Adeniran; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.14821

Abstract

When nitinol is machined, quantitative details regarding the surfaces such as the surface crack density, utmost peak-to-valley heights, recast layer thickness and the mean peak-to-valley height among others offer the most appropriate features to consider in the integrity of the surfaces of machined nitinol. This quantitative information directs the integrity and the projected future performance of the machined nitinol in the components. Consequently, the research question of how to achieve optimal surface integrity of the machined nitinol is important. A literature review is conducted to study the surface integrity analysis of wire electrical discharged machined nitinol. In particular, published papers between 2007 and 2021 have been reviewed. Literature is explored concerning the method of analysis, parameters of research interest and the problems/issues arising from the literature. Diverse methods were employed to evaluate the surface integrity of nitinol after machining. Commonly, both mathematical optimization and microstructural characterizations are used to suggest ideas. Mathematical optimization has been in two broad perspectives, namely, experimental design-based methods such as orthogonal arrays, signal-to-noise ratios, Taguchi's utility and quality loss function, Box-Behnken design and response surface methodology. The non-traditional optimization schemes such as the differential evolution, multi-objective optimization based on ratio analysis and teaching learning-based optimization have been applied. For microstructural characterization, tools to evaluate the surface integrity of nitinol such as field emission scanning electron microscope and energy dispersive X-ray have been deployed. Parameters such as residual stress, geometric deviation, microhardness and profile accuracy are pursued to be optimized. It is known that various literature reviews in previous years have studied the surface integrity problem of nitinol using large-scale approaches. However, in this article, a brief review is prescribed and this work reveals how the surface integrity analysis of nitinol has been tackled in the literature.
Optimization and Selection of Boring Process Parameters for IS 2062 E250 Steel Plates Using Hybrid Taguchi-Pareto Box Behnken-Genetic Algorithm Method Yakubu Umar Abdullahi; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.15443

Abstract

The integrated Taguchi-Pareto-Box-Behnken design (TP-BBD) method has been recognized as an effective method for boring operation optimization. Yet it has further optimization opportunities even with less information availability. In this study, the genetic algorithm (GA) was integrated with the TP-BBD method to form a novel TP-BBD-GA method to effectively deal with the paucity of boring data and generate multiple optimal solutions. Numerical simulation coupled with experimental data analysis was conducted to ascertain the effectiveness of the proposed method using literature data. To combine the procedure of the constituent methods, the authors analysed the literature data with the Taguchi-Pareto method. Then the output was used as inputs to the Box Behnken design method. Afterwards, linear programs with objective functions and constraints were formulated and introduced into the genetic algorithm structure and then solved using the python language. The results revealed that the proposed method exhibits good performance for boring operations as it predicts the best parameter i.e. speed, feed rate, depth of cut and noise radius values for optimal surface roughness values. This article offers a unique contribution to the boring literature since it examines an additional optimization procedure to the existing one. The study analyzes the optimization behaviour of the IS 2062 E250 steel plates in the boring process and gives an easy procedure for process engineers on improving the boring operations.
Port Equipment Downtime Prediction and Lifetime Data Analysis: Evidence from a Case Study Lot Okanminiwei; Sunday Ayoola Oke
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 14, No 1 (2021): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v14i1.2362

Abstract

Prediction of downtime and lifetime data for gantry cranes in a container terminal is a crucial concern for port terminals due to the requirement for maintenance planning and capital expenditure. Correct estimation of lifetime behavior for gantry cranes is complex since multiple cranes are involved, each with different costs, capacities; installation, and retirement dates. This paper develops statistically-oriented predictions for the lifetimes of container terminals company fleet of gantry cranes. Data records on downtime for cranes were collected and analyzed using Weibull, normal, and Rayleigh distributions regarding a port in southwestern Nigeria. The downtime, probability density function, cumulative density function, reliability, and hazard rate were analyzed for three shape functions of Weibull, β=0.5, 1, and 3. The same was analyzed for Rayleigh and normal distribution functions. The mean downtime was 30.58 hrs. The highest PDF, CDF, R(t) for all β =0.5, 1, and 3, were 0.26, 0.78, .030 and 13.13, respectively. However, the least values for these parameters are 0.01, 0.71, 0.25, and 0.04, respectively. These values are means for thirty data points and concern the Weibull distribution function. For the Rayleigh distribution, the mean PDF, CDF, R(t) and h(t) are 0.002, 0.042, 0.958 and 0.002 while they are 0.002, 0.456, 0.542 and 35.755 for the normal distribution. This article provides new insights into the lifetime analysis of gantry cranes in a container terminal.
FACTOR ANALYSIS APPROACH-TAGUCHI-PARETO METHOD TO CASTING A356 ALLOY COMPOSITE FOR LIGHTWEIGHT WHEEL RIM COVER OF VEHICLES Stephen Chidera Nwafor; Sunday Ayoola Oke; Chris Abiodun Ayanladun
Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2022): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v10i1.9407

Abstract

The aspect of reinforcing re-usable A356 alloys with organic matters is a principal, success yet expanding in scope regarding new products development. Despite, the use of Taguchi-Pareto method has potentials for improvement. The purpose of this article is to examine the factor analysis- Taguchi-Pareto method at which identification of the key factors could be achieved while concurrently optimizing the factors. The point of integration is at the variance determination of the unrotated factor loadings and communality. The synergy between factor analysis and Taguchi-Pareto method provides practical assistance to foundry engineers to concurrently select key factors while optimising them. The factors were noted to be effective and responsive to the proposed method. The delta values are 0, 0.84 and 0 for LC1, WC1 and HC1, respectively while the ranks are WC1 as first while the second position is shared between LC1 and HC1. The optimal parametric settings are LC11 WC11 HC11, LC11 WC11 HC12, LC12 WC11 HC11 or LC12 WC11 HC12­. One of the optimal parametric settings is 0.280m of LC1 with 1.788kg of WC1 and 0.036m of HC1. The finding provides novel steps to the concurrent factor identification and optimisation in the choice of optimal parametric setting for the process. It is the first step towards sustainable foundry practice.
Optimizing the Process Parameters for Eco-Friendly Minimum Quantity Lubrication-Turning of AISI 4340 Alloy with Nano-Lubricants Using a Grey Wolf Optimization Approach Chukwuka Prosper Ozule; Sunday Ayoola Oke; Ugochukwu Sixtus Nwankiti
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15519

Abstract

Optimization of turning process parameters in minimum quantity lubrication (MQL)-assisted mode is obligatory for enhanced efficiency and product integrity. However, little attention has been paid to analyzing situations where high search precision is needed when evaluating the optimal turning process parameters. This article applies the grey wolf optimization (GWO) approach to optimize the turning of parameters AISI 4340 alloy to enhance cutting force, surface roughness and tool wear. Based on the literature data, turning was conducted with MQL-assisted CuO and Al2O3 nanofluids. The problem was formulated by mimicking six wolves in six different objective functions. The objective functions have the responses as the dependent variables and the parameters including cutting speed, feed and cutting depth as independent variables. The hunting behavior of the wolves as they encircle the prey is interpreted to the machining task optimization. It involves three hierarchically-evaluated guides- the alpha, beta and delta wolves- positioned optimally and other wolves are updated accordingly. The cutting speed, feed and cutting depth are bound in the lower and upper limits as 80 and 140m/min, 0.05 and 0.20m/m/rev and 0.1 and 0.4mm, respectively. The grey wolf optimization algorithm optimizes the parameters to yield the cutting force, surface roughness and tool wear using Al2O3 as 199.50N, -23.54mm and 0.06mm, respectively. For the CuO, the corresponding cutting force, surface roughness and tool wear, the CuO, Al2O3 and CuO nano lubricants produced the best results. However, for mass production, selective use of CuO and Al2O3 should be made. The usefulness of this research endeavor is to help process engineers to make decisions in producing low-cost components in manufacturing.
Thermal Friction Drilling Process Parametric Optimization for AISI 304 Stainless Steel Using an Integrated Taguchi-Pareto–Grey Wolf-Desirability Function Analysis Optimization Technique Ugochukwu Sixtus Nwankiti; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15444

Abstract

Thermal friction estimations are presently essential on steel for manufacturing applications as they predict the aggregated energy required for the required process. However, the current thermal friction estimates are inaccurate as they exclude the optimized thresholds of both the input and output quantities. In this article, the optimization of the drilling operation process is accounted for by introducing a new method of combined Taguchi-Pareto–grey wolf-desirability function analysis applied on the AISI 304 stainless steel. An objective function was formulated using the delta values developed from the average signal-to-noise into the response table of the Taguchi method. Besides, the ranks of the parameters through the response table are taken in the reciprocal mode to evaluate the values of the linear program formulated according to the objective function and some constraints taken from the system. Six input parameters were considered tool cylindrical region diameter, friction angle, friction contact area ratio, mouthpiece thickness, feed rate and reciprocal speed. The outputs are the axial force, radial force, hole diameter dimensional error, roundness error and bushing length. These inputs and outputs were analyzed for the optimization process. Based on the results, which were solved using the C++ software, the best value converges in iteration 8 with the starting value of 1699.2. Iteration 1 drops to 11016.3 in six iterations (iterations 2 to 7) and finally converges at 11015.9 in iterations 8 through 20. The usefulness of the effort is to help process engineers to execute cost-effective energy conservation decisions in optimization that could be obtained using optimized thermal friction values.
Co-Authors Chris Abiodun Ayanladun Chukwuka Prosper Ozule Isaac Temitope Abiola Isaac Temitope Abiola Lot Okanminiwei Lot Okanminiwei Mofoluwaso Kehinde Adeniran Onoyeyan Onajite Onoyeyan Onajite Shedrach Aliakwe Martins Shedrach Aliakwe Martins Stephen Chidera Nwafor Ugochukwu Sixtus Nwankiti Ugochukwu Sixtus Nwankiti Victor Chidiebere Maduekwe Victor Chidiebere Maduekwe Yakubu Umar Abdullahi